Monotonicity and smoothness
Read OriginalThe article discusses the relative value of assuming monotonicity versus smoothness in statistical modeling. It explains that while monotonicity seems like a strong assumption, asymptotically it offers less benefit (Op(n^{-1/3})) than smoothness (Op(n^{-2/5})). However, with sparse data, monotonicity is more powerful, whereas smoothness becomes more useful with dense data.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
The Beautiful Web
Jens Oliver Meiert
•
2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane
•
1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg
•
1 votes
4
Wagon’s algorithm in Python
John D. Cook
•
1 votes
5
An example conversation with Claude Code
Dumm Zeuch
•
1 votes